1522 citations to 10.1109/TIT.2005.860430 (Crossref Cited-By Service)
  1. George Papageorgiou, Pantelis Bouboulis, Sergios Theodoridis, “Robust Linear Regression Analysis— A Greedy Approach”, IEEE Trans. Signal Process., 63, № 15, 2015, 3872  crossref
  2. John D. Jakeman, Akil Narayan, Tao Zhou, “A Generalized Sampling and Preconditioning Scheme for Sparse Approximation of Polynomial Chaos Expansions”, SIAM J. Sci. Comput., 39, № 3, 2017, A1114  crossref
  3. Yu Lu, Huahua Chen, 2011 4th International Conference on Biomedical Engineering and Informatics (BMEI), 2011, 347  crossref
  4. Y. Isaac, Q. Barthélemy, C. Gouy-Pailler, M. Sebag, J. Atif, “Multi-dimensional signal approximation with sparse structured priors using split Bregman iterations”, Signal Processing, 130, 2017, 389  crossref
  5. Buxian Chen, Anhua Wan, “General RIP bounds of δ for sparse signals recovery by ℓ minimization”, Neurocomputing, 363, 2019, 306  crossref
  6. Yiduo Guo, Guisheng Liao, Jian Gong, Darong Huang, “Sparse recovery-based STAP method using prior information of azimuth-elevation”, J. Appl. Remote Sens, 11, № 3, 2017, 035004  crossref
  7. Adel Javanmard, Andrea Montanari, “Debiasing the lasso: Optimal sample size for Gaussian designs”, Ann. Statist., 46, № 6A, 2018  crossref
  8. Jie Chen, Xiaoming Huo, “Theoretical Results on Sparse Representations of Multiple-Measurement Vectors”, IEEE Trans. Signal Process., 54, № 12, 2006, 4634  crossref
  9. C. Novara, N. Mohammad Pour, T. Vincent, G. Grassi, “A Nonlinear Blind Identification Approach to Modeling of Diabetic Patients”, IEEE Trans. Contr. Syst. Technol., 24, № 3, 2016, 1092  crossref
  10. JingYu Yang, YiGang Peng, WenLi Xu, QiongHai Dai, “Ways to sparse representation: An overview”, Sci. China Ser. F-Inf. Sci., 52, № 4, 2009, 695  crossref
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